Data Scientist Team Lead

Posted 3 Days Ago
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Tel Aviv, ISR
In-Office
Senior level
Big Data • Information Technology
Data-hacking the world's largest real-time ad exchange
The Role
Lead and mentor a data science team, define data strategy, manage end-to-end ML projects, analyze large datasets, build algorithmic solutions, and communicate insights to senior leaders to support revenue-driving decisions.
Summary Generated by Built In
Description

About Us

Come [legally] hack with us on the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to outperform the market.Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies. 

We are looking for a passionate Senior Data Scientist Team Lead to join our all-star team. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

You will become the focal point of our data team and streamline processes, and will be responsible over company revenue streams.

What you will do

  • Ad and mentor a team of extremely talented and success-hungry Data Scientists
  • Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions. 
  • Lead the data strategy: be responsible for planning, prioritizing and building the right data solutions to support business needs.
  • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems.
  • Identify and propose data science and algorithmic solutions for various product initiatives. 
  • Use your excellent communications skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross- functional teams to improve performance. 
  • Partner with other departments (i.e. Management, R&D, Product) to support decision making. 
Requirements
  • Two years of experience in leading a team.
  • 4+ years of practical analytics experience in big data businesses (preferable - B2C company).
  • A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data and business.
  • Excellent analytical skills with experience in querying large, complex data sets.
  • Strong understanding of statistical significance.
  • Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc.
  • BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or any other quantitative field.
  • Self-learner, multi-tasker, able to work independently.
  • Self-sufficient proactive problem-solver.
  • Excellent communications skills, both written and verbal.
  • Familiarity with the Ad-Tech industry - a big plus.
  • Experience in implementing real-time machine learning and data mining algorithms in large scale environments - a big plus.
  • Fun to work with & a team player :).

Skills Required

  • Two years of experience in leading a team
  • 4+ years of practical analytics experience in big data businesses
  • Experience querying large, complex data sets
  • Strong understanding of statistical significance
  • Hands-on experience with machine learning algorithms
  • Python
  • Data visualization tools such as Tableau or Looker
  • BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science or quantitative field
  • Self-learner, multi-tasker, able to work independently
  • Excellent written and verbal communication skills
  • Familiarity with the Ad-Tech industry
  • Experience implementing real-time machine learning and data mining algorithms in large-scale environments
  • Team player and pleasant to work with
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The Company
HQ: Tel Aviv-Yafo
83 Employees

What We Do

We build and operate Machine Learning based media acquisition algorithms for managed & RTB environments. Our autonomous media engine, targets, re-targets, self-adapts and generates insights to zero-down on the most valuable traffic, users and LTV. Directly connected to Ad-exchanges, it's able to predict, detect and evade fraudulent sources & low intent traffic, generating additional market edge. Arpeely is a fusion of Engineering, Fraud Sciences, AI, Data Science, and Digital Marketing

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